AI Strategist / Decisioning Expert - AWS and GCP (Daily Rate: High End) Hybrid/Remote Working - ...

ZipRecruiter; Leeds; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading company specializing in digital transformation is seeking a highly experienced AI Strategist / Decisioning Expert to support their growth. The role involves translating business goals into actionable insights, utilizing advanced analytics tools like AWS and GCP in a hybrid working environment. Ideal candidates will possess extensive experience in leading AI initiatives, with a focus on practical implementation and measurable results.

Qualifications

• 10+ years of experience in a similar role, focusing on AI strategies and decision logic integration.
• Expertise in data analytics and visualization for informed decision-making.
• Familiarity with various cloud technologies (AWS, GCP) and agile working environments.

Responsibilities

• Translate commercial goals into executable decision logic within the NBA ecosystem.
• Work closely with Commercial teams and Product Tribes for continuous improvement.
• Advise on KPIs to prioritize for better business outcomes.

Skills

Kotlin

PostgreSQL

AWS

GCP

Apache Kafka

Streaming Analytics

S3

Terraform

Job description

Job Description

AI Strategist / Decisioning Expert - AWS and GCP

Daily Rate - Top High End

London based

Experience: Senior Role (10+ years)

2 days Hybrid Working (onsite) / 3 days Remote Working

Day Rate: Highly negotiable (Top Rates)

Key Essential Skills:

NBA, POSTGREY, AWS, Kinesis, GCP, Kafka, Streaming Analytics, Kotlin, Vertex AI, S3, Terraform

My client, an innovative accelerator company specializing in digital transformation, working with a diverse range of clients, is looking for a strong AI Strategist / Decisioning Expert with 10+ years of proven industry experience.

The company’s mission is to drive growth and success for businesses through cutting-edge technology solutions. As they continue to expand, they are seeking an AI Strategist / Decisioning Expert to join their dynamic team.

Business Responsibilities:

• Translate commercial goals and product catalogue strategy into executable decision logic within the NBA ecosystem.
• Advise on KPIs to prioritize for improved business outcomes of the NBA ecosystem.
• Mastery in data analytics and visualization to extract relevant signals and patterns for better decision-making and faster time-to-market offers.
• Work alongside Commercial teams (e.g., base management, pricing) and Product Tribes (e.g., Home, Mobile, TV).
• Streamline requirements processes and influence business activity refinement beyond execution.
• Operate as an embedded partner within agile squads and tribes for continuous value delivery.
• Challenge the business and promote best practices for better outcomes.

Technical Skills:

• Kotlin: Primary programming language for core NBA applications.
• PostgreSQL (GCP & AWS RDS): For application configuration and schema management.
• DynamoDB (AWS): NoSQL data store for high-throughput eligibility and state data.
• Commercial NBA App: Containerized microservice in ECS/GKE hosting decision logic.
• NBA Orchestrator: Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems.
• Machine Learning Models via Vertex AI (GCP):
• AWS Glue + Lambda + Step Functions: Batch ETL workflows.
• Kafka (Confluent Cloud): Real-time feature stream ingestion.
• Kinesis Streams + Firehose: Traceability and telemetry routing.
• Cloud Storage (S3, GCP buckets): Configuration, logs, traceability data.
• Envoy Proxy + ALB + WAF: TLS termination, authentication, traffic routing.
• CloudWatch / Dynatrace: Observability and alerting.
• Terraform + GitLab CI/CD: Infrastructure as Code and deployment pipelines.
• Custom UI for simulations/experiments (planned to support with GenAI features in the future) for business configuration, testing, and release governance.